Automated wavelet analysis of publicly available electrophysiological data as a proof of concept (v1)

A dataset generated entirely from running EBRAINS data processing workflows, with metadata auto-generated from workflow provenance recording. This is a proof-of-concept, corresponding to Milestone 4.2 in the EBRAINS-2.0 project. The [example workflow](https://gitlab.ebrains.eu/workflows/components/-/blob/v0.1/examples/demonstrator_workflow.cwl) involved downloading experimental data from [an EBRAINS dataset](https://search.kg.ebrains.eu/instances/b23a87a2-3079-46ff-9649-d6a521952e4a), running a sequence of data analysis steps with Elephant (Butterworth filter then wavelet transform), then uploading the results to EBRAINS Bucket storage. The dataset was generated through the EBRAINS Provenance API web service. The corresponding author selected the workflow records to include in the dataset, and then provided the following additional information: - a name and abstract for the dataset, explaining its significance and context; - the dataset licence; - accessibility; - ethics approval for the data processing (not required in this case); - funding acknowledgements; All other metadata, including keywords, techniques used, study targets, data types, etc., were derived from the workflow definitions (CWL files) and/or from the input datasets or models. The data files included in the dataset are all those generated by the included workflows.